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1
Yu, Kuo-Nan, Chih-Kang Liao, and Her-Terng Yau. "A New Fractional-Order Based Intelligent Maximum Power Point Tracking Control Algorithm for Photovoltaic Power Systems." International Journal of Photoenergy 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/493452.
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This paper proposes a new type of variable fractional-order incremental conductance algorithm (VFOINC), combined with extenics variable step size (EVSS) control into the maximum power point tracking (MPPT) design for photovoltaic power systems. At the beginning of maximum power tracking, the fractional-order numberαis selected as 1; the good transient tracking characteristic of traditional incremental conductance method is used. When the maximum power point is approached, the fractional-order numberαis selected as variable fractional order; the curve profile ofαin fractional order is used to approximate, so that the system has good tracking effect in transient and steady states. The experimental and simulation results show that, compared with traditional incremental conductance method (INC) and fractional-order incremental conductance method (FOINC), this method has better MPPT effect.
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Chao, Kuei Hsiang, and Yu Hsu Lee. "An Intelligent Incremental Conductance MPPT Method for a Photovoltaic System." Key Engineering Materials 480-481 (June 2011): 739–44. http://dx.doi.org/10.4028/www.scientific.net/kem.480-481.739.
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In this paper, a novel incremental conductance (INC) maximum power point tracking (MPPT) method based on extension theory is developed to make full use of photovoltaic (PV) array output power. The proposed method can adjust the step size to track the PV array’s maximum power point (MPP) automatically. Compared with the conventional fixed step size INC method, the presented approach is able to effectively improve the dynamic response and steady state performance of a PV system simultaneously. A theoretical analysis and the design principle of the proposed method are described in detail. Some simulation results are performed to verify the effectiveness of the proposed MPPT method.
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Asnil, Asnil, Refdinal Nazir, Krismadinata Krismadinata, and Muhammad Nasir. "Comparative analysis of incremental conductance MPPT for enhanced algorithm performance." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 3 (2025): 1415. https://doi.org/10.11591/ijeecs.v37.i3.pp1415-1427.
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The incremental conductance (INC) approach is limited in terms of its response speed, accuracy during steady state, and ability to handle oscillations. As a result, this algorithm is ineffective in situations with variations in solar radiation and temperature, particularly abrupt fluctuations. An enhanced variable step size INC approach is suggested to improve system efficiency and performance. The proposed algorithm is subjected to rigorous testing and analysis with other INC methods for better results. The research findings indicate that the proposed algorithm's tracking efficiency can be enhanced to 99.83% under varying radiation conditions and constant temperature. Additionally, the method utilizing the second model achieves a 99.83% tracking efficiency, while the method employing the first model achieves a tracking efficiency of 89.99%. In comparison, the conventional method achieves a tracking efficiency of 96.36%. Regarding radiation and temperature circumstances, the tracking efficiency value varies for different methods. Specifically, the tracking efficiency is 95.21% for the approach using the proposed algorithm’s, 92.94% for the method using the second model, 83,39% for the method using the first model, and 91.19% for the conventional way. Therefore, it can be inferred that the suggested Maximum power point tracking (MPPT) algorithm performs better than other algorithms under both test situations.
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Asnil, Asnil Refdinal Nazir Krismadinata Krismadinata Muhammad Nasir. "Comparative analysis of incremental conductance MPPT for enhanced algorithm performance." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 3 (2025): 1415–27. https://doi.org/10.11591/ijeecs.v37.i3.pp1415-1427.
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The incremental conductance (INC) approach is limited in terms of its response speed, accuracy during steady state, and ability to handle oscillations. As a result, this algorithm is ineffective in situations with variations in solar radiation and temperature, particularly abrupt fluctuations. An enhanced variable step size INC approach is suggested to improve system efficiency and performance. The proposed algorithm is subjected to rigorous testing and analysis with other INC methods for better results. The research findings indicate that the proposed algorithm's tracking efficiency can be enhanced to 99.83% under varying radiation conditions and constant temperature. Additionally, the method utilizing the second model achieves a 99.83% tracking efficiency, while the method employing the first model achieves a tracking efficiency of 89.99%. In comparison, the conventional method achieves a tracking efficiency of 96.36%. Regarding radiation and temperature circumstances, the tracking efficiency value varies for different methods. Specifically, the tracking efficiency is 95.21% for the approach using the proposed algorithm’s, 92.94% for the method using the second model, 83,39% for the method using the first model, and 91.19% for the conventional way. Therefore, it can be inferred that the suggested Maximum power point tracking (MPPT) algorithm performs better than other algorithms under both test situations.
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He, Xuan, Wen Yi Li, Xiu Li, Li Guo, Yan Wang, and Wei Sheng Lv. "Photovoltaic Arrays MPPT Based on Improved Incremental Conductance Method." Advanced Materials Research 608-609 (December 2012): 177–80. http://dx.doi.org/10.4028/www.scientific.net/amr.608-609.177.
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This paper analyzes advantages and disadvantages of different maximum power point tracking (MPPT) methods based on mathematical model of photovoltaic cell and its characteristic analysis. According to output characteristics of photovoltaic (PV) array, this paper puts forwards an improved increment conductance (INC) method which can improve the efficiency of photovoltaic cell by increasing power tracking speed under the premise of ensuring stability of the system. This method is verified by means of MATLAB/Simulink.
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Sonia, Pankaj, Aravinda K, Atul Singla, et al. "Incorporating Incremental Conductance MPPT Techniques into Solar Power Extraction." E3S Web of Conferences 552 (2024): 01113. http://dx.doi.org/10.1051/e3sconf/202455201113.
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Research into alternative, green energy sources such as solar power has been driven by concerns about environmental sustainability, escalating petroleum costs, and surging energy demand. Solar energy can power the entire world sustainably, since it is abundant and easy to access. Solar radiation, cell temperature, and load impedance all play a part in improving the efficiency of solar energy utilization. In order to maximize solar energy utilization, Maximum Power Point Tracking (MPPT) techniques are used. In order to address factors such as solar effectiveness, dynamic response, convergence speed, complexity, cost, and sensor requirements, different MPPT techniques have been developed. Using Incremental Conductance (INC) as an example, this paper provides a comprehensive overview of MPPT techniques. P&O’s drawback of oscillations around the Maximum Power Point (MPP) is overcome by INC, which minimizes them. The MPP voltage is maintained until the incremental conductance equals zero by comparing the instantaneous conductance of the panel with the incremental conductance. In addition to being easy to implement, INC-based methods offer rapid tracking and efficiency gains. Results from simulations demonstrate INC MPPT’s effectiveness in maximizing power extraction from photovoltaic systems, especially when environmental conditions change rapidly.
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El hassouni, Bennacer, Abdellatif G.AMRANI, and Ali HADDI. "A new MPPT technique for optimal and efficient monitoring in case of environmental or load conditions variation." International Journal of Information Technology and Applied Sciences (IJITAS) 3, no. 2 (2021): 18–28. http://dx.doi.org/10.52502/ijitas.v3i2.16.
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Due to the very high initial investment cost of photovoltaic systems and their low conversion efficiency, it is essential to operate PV generators at the point of maximum power (MPP). Within this framework, our first objective in this thesis is to develop and improve the PV system, contributing to optimizing the PV panels' energy through a DC-DC power electronics converter. For this reason, a further improvement of the incremental conductance technique is proposed to improve the MPP tracking capability of the PV system when the level of solar irradiation is suddenly increased or when the load undergoes variations. The new technique includes two processing phases: a calculation phase to improve the tracking speed and a regulation phase to improve MPP tracking efficiency. In order to evaluate its performance, the proposed new method is compared to other methods, namely the Incremental conventional conductance (INC) technique and the Modified Variable Size Incremental conductance (M-INC) technique. The results show that the proposed technique's overall tracking speed is 3.7 times faster than the conventional INC technique and 1.52 times faster than the modified INC technique. Also, the tracking power losses with the proposed technique are lower compared to other techniques. In terms of overall efficiency, the proposed technique is the most efficient with an efficiency of 94.83%, followed by the modified technique with an overall efficiency of 87.94%. In comparison, the conventional INC technique's efficiency is the lowest and does not exceed 83.33%.
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Giurgi, Gavril-Ionel, Lorant Andras Szolga, and Danut-Vasile Giurgi. "Benefits of Fuzzy Logic on MPPT and PI Controllers in the Chain of Photovoltaic Control Systems." Applied Sciences 12, no. 5 (2022): 2318. http://dx.doi.org/10.3390/app12052318.
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This paper presents a comparative study between two maximum power point tracking (MPPT) algorithms, the incremental conductance algorithm (InC) and the fuzzy logic controller (FLC). The two algorithms were applied to a low photovoltaic power conversion system, and they both use different PI controllers and grid synchronization techniques. Moreover, both InC and FLC methods have Clarke and Park Transformation. To some extent, the incremental conductance and fuzzy logic controller approaches are similar, but their control loops are different. Therefore, the InC has classic Proportional Integrative (PI) controllers with simple phase-locked loops (PLL). At the same time, the FLC works with fuzzy logic PI controllers linked with the Second Order Generalized Integrator (SOGI). The proposed techniques examine the solar energy conversion performance of the photovoltaic (PV) system under possible irradiance changes and constant temperature conditions. Finally, a performance comparison has been made between InC and FLC, which demonstrates the effectiveness of the fuzzy controller over the incremental conductance algorithm. FLC turns to convert photovoltaic power easily, decreasing fluctuations, and it offers a quick response to the variation of solar irradiance (shading effect). The simulation results show a superior performance of the controller with fuzzy logic, which helps the inverter convert over 99% of the power generated by the photovoltaic panels. In comparison, the incremental conductance algorithm converts around 80%.
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Pham, Van De. "OPTIMIZED CONTROL OF THE PHYSICAL BATTERY SYSTEM." AUSTENIT 15, no. 1 (2023): 21–30. https://doi.org/10.5281/zenodo.7882161.
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Today, a significant issue for many nations worldwide is a shortage of energy. Renewable energy sources, particularly solar energy, are being investigated as additional energy sources to address the aforementioned issue. The high investment cost and poor performance of solar energy, however, provide the biggest challenge. This study only addresses the power optimization problem. It is suggested that the method used to determine the solar system's maximum power point modify incremental conductance. Adapted Incremental Conductance algorithm based on Incremental Conductance conventional techniques. The Modified Incremental Conductance method, however, has several exceptional advantages since it has a voltage change (V) that is not constant but fluctuates in an ideal manner to achieve the maximum power point as soon as possible. The voltage V is greater away from the peak power point while it is zero at the peak power point. Modified incremental conductivity algorithm to find peak power point faster than traditional algorithms. With maximum power point change reducing ambient power loss at the highest powers point. This helps to optimize voltage difference value.
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Chuang, Man-Tsai, Yi-Hua Liu, and Song-Pei Ye. "A Novel Variable Step Size Incremental Conductance Method with an Adaptive Scaling Factor." Applied Sciences 10, no. 15 (2020): 5214. http://dx.doi.org/10.3390/app10155214.
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In this paper, a novel variable step size (VSS) incremental conductance (INC) method with an adaptive scaling factor is proposed. The proposed technique utilizes the model-based state estimation method to calculate the irradiance level and then determine an appropriate scaling factor accordingly to enhance the capability of maximum power point tracking (MPPT). The fast and accurate tracking can be achieved by the presented method without the need for extra irradiance and temperature sensors. Only the voltage-and-current sets of any two operating points on the characteristic curve are needed to estimate the irradiance level. By choosing a proper scaling factor, the performance of the conventional VSS INC method can be improved. To validate the studied algorithm, a 600 W prototyping circuit is constructed and the performances are demonstrated experimentally. Compared to conventional VSS INC methods under the tested conditions, the tracking time is shortened by 31.8%. The tracking accuracy is also improved by 2.1% and 3.5%, respectively. Besides, tracking energy loss is reduced by 43.9% and 29.9%, respectively.
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Mahmmoud, Omer, Assad Nashi, and Khadim Siddiqui. "Induction Motor Speed Control with Solar Cell Using MPPT Algorithm by Incremental Conductance Method." Tikrit Journal of Engineering Sciences 27, no. 3 (2020): 8–16. http://dx.doi.org/10.25130/tjes.27.3.02.
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In the world, optimizing energy and finding new sources is important because of the increased consumption that occurred in all aspects of life. Nowadays, the world suffers of the reduction in the fossil fuel continuously. One solution to this problem is the sun and the photovoltaic (PV) cell. To get the benefits of PV, the DC/DC and DC/AC converters and inverters are combined in one set to get the better usage of these capabilities. Induction motor (IM) is the horsepower in the industry and will be considered the load in this work. The DC/DC Converter is used for control of IM speed in combination with maximum power point tracking (MPPT). Temperature and radiation change constantly over time, and the maximum energy should be tracked. This follow-up was performed using Incremental Conductance method (INC). INC is control buck-boost duty cycle converter. We get the best performance in INC technology and have less effect on the system. This algorithm uses INC of the MPPT to control half of horse power of IM. The sine pulse width modulation technique (SPWM) is used with three level inverters. Simulation on the Three-phase proves the efficiency of the suggested technique.
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Abutaima, Khaleel Abed, and Ramizi Mohamed. "Design of Improved Incremental Conductance with Fast Intelligent (FI) Based MPPT Technique for Solar PV System." Jurnal Kejuruteraan 34, no. 6 (2022): 1093–104. http://dx.doi.org/10.17576/jkukm-2022-34(6)-10.
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Currently, the solar PV power extraction technology is undergoing significant improvement. Towards this, the paper proposed the design for a photovoltaic (PV) array and the output performance of a photovoltaic system under the influence of irradiance. To achieve this, the design for improved incremental and conductance fast tracking INC -FI based MPPT technique for solar PV system has been presented. The purpose of employing the improved INC -FI technique is to improve the efficiency of the system. The accuracy and performance of the proposed INC -FI method was increased due to its better tracking capability by utilizing variable ΔD for tracking the MPP in comparison to the conventional INC method at variable temperature while keeping the irradiance constant. Further, the results of the proposed method were compared with the conventional method where the INC -FI based technique outperforms the conventional INC method in terms of better accuracy. For the irradiance with 800w/m2, the achieved MPPT efficiency was 58.21 for conventional method and 80.53 for the improved technique. It was also noted that the tracking efficiency of the conventional method was 84.39 as compared to 99.92 for the proposed INC -FI technique in terms of MPPT efficiency at the irradiance of 1000w/m2. Furthermore, the improved method delivered fast tracking ability of the MPPT system with a time of less than 10 s(approx.). The MATLAB Simulink platform was utilized for designing the proposed technique. In future, the proposed INC based technique would be implemented on hardware for better outcomes and validation.
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Shukla, Ashutosh, and Asst Prof Sudeep Mohaney. "A Complete review of FLC MPPT Technique and Comparison with INC Technique." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (2022): 1245–53. http://dx.doi.org/10.22214/ijraset.2022.44031.
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Abstract: In recent years, all around the world, considerable technological growth has been observed to improve the availability of electrical energy in the most ecological way. Under partial shading conditions, maximum power point tracking techniques track the point at which full power can be taken out. Thus the net efficiency of a photovoltaic system is improved. This paper evaluates, methods such as incremental conductance (INC) and fuzzy logic controller (FLC) are evaluated. The simulation results obtained are developed under the software MATLAB / Simulink. Both techniques (INC) and (FLC) are used with a boost DC / DC converter and a load. Theseresults show that the fuzzy logic controller is superior to and faster than the conventional incremental conductance (INC) technique in dynamic response and steady-state in regular operation. Keywords: MPPT; PV; technique INC; technique FLC; Boost DC/DC.
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Ali, Amjad, Wuhua Li, and Xiangning He. "Performance Analysis of Incremental Conductance MPPT with Simple Moving Voltage Average Method for Distributed PV System." Open Electrical & Electronic Engineering Journal 10, no. 1 (2016): 118–28. http://dx.doi.org/10.2174/1874129001610010118.
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In order to harvest photovoltaic energy efficiently, several methods exist, yet most of them failed to address the issues related to extract the maximum power under rapidly changing solar irradiance conditions. In conventional incremental conductance, large step size reduces tracking time but oscillation remains around maximum power point (MPP). However, small step size reduces the oscillation but results in slower tracking speed. This paper proposes a simple moving voltage average (SMVA) technique in conjunction with fixed step direct control incremental conductance (INC) maximum power point tracking (MPPT) method in order to reduce the photovoltaic (PV) generated voltage (VPV) fluctuation and power losses under mismatching solar irradiance conditions in distributed PV system. Theoretical analysis and the simulation results revealed that the proposed SMVA technique provides fast and accurate tracking under mismatching irradiance conditions. Also, it significantly improves the voltage stability because of extremely small |dP/dV| around MPP as compared to the conventional fixed step direct control incremental conductance MPPT method. Finally, results show that the proposed method is suitable for distributed PV system under intermittent weather conditions not only in terms of voltage stability but also in overall system efficiency.
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Mr., Nalinikanta Pattanaik*1 Mr. Ranjan Kumar Jena2 &. Mr. Pratik Das3. "MAXIMUM POWER POINT TRACKING FOR PHOTOVOLTAIC SYSTEM BY INCREMENTAL CONDUCTANCE METHOD USING BUCK BOOST CONVERTER." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 8, no. 8 (2019): 139–55. https://doi.org/10.5281/zenodo.3377452.
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Energy, especially alternative source of energy is vital for the development of a country. In future, the world anticipates developing more of its solar resource potential as an alternative energy source to overcome the persistent shortages and unreliability of power supply. In order to maximize the power output the system components of the photovoltaic system should be optimized. For the optimization maximum power point tracking (MPPT) is a promising technique that grid tie inverters, solar battery chargers and similar devices use to get the maximum possible power from one or more solar panels. Among the different methods used to track the maximum power point, incremental conductance (INC) method is a type of strategy to optimize the power output of an array. In this method, the controller adjusts the voltage by a small amount from the array and measures power, if the power increases, further adjustments in that direction are tried until power no longer increases. In this research paper the system performance is optimized by incremental conductance (INC) method using buck boost converter. By varying the duty cycle of the buck boost converter, the source impedance can be matched to adjust the load impedance to improve the efficiency of the system. The Performance has been studied by the MATLAB/Simulink.
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Ali, Amjad, Wuhua Li, and Xiangning He. "Simple Moving Voltage Average Incremental Conductance MPPT Technique with Direct Control Method under Nonuniform Solar Irradiance Conditions." International Journal of Photoenergy 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/479178.
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A new simple moving voltage average (SMVA) technique with fixed step direct control incremental conductance method is introduced to reduce solar photovoltaic voltage (VPV) oscillation under nonuniform solar irradiation conditions. To evaluate and validate the performance of the proposed SMVA method in comparison with the conventional fixed step direct control incremental conductance method under extreme conditions, different scenarios were simulated. Simulation results show that in most cases SMVA gives better results with more stability as compared to traditional fixed step direct control INC with faster tracking system along with reduction in sustained oscillations and possesses fast steady state response and robustness. The steady state oscillations are almost eliminated because of extremely smalldP/dVaround maximum power (MP), which verify that the proposed method is suitable for standalone PV system under extreme weather conditions not only in terms of bus voltage stability but also in overall system efficiency.
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Oumnia, Lagdani, Trihi Mourad, and Bossoufi Badre. "PV array connected to the grid with the implementation of MPPT algorithms (INC, P&O and FL method)." International Journal of Power Electronics and Drive System (IJPEDS) 10, no. 4 (2019): 2084–95. https://doi.org/10.11591/ijpeds.v10.i4.pp2084-2095.
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The purpose of this article is to extract the maximum power point at which the photovoltaic system can operate optimally. The system considered is simulated under different irradiations (between 200 W/m2 and 1000 W/m2), it mainly includes the established models of solar PV and MPPT module, a DC/DC boost converter and a DC / AC converter. The most common MPPT techniques that will be studied are: "Perturbation and Observation" (P&O) method, "Incremental Conductance" (INC) method, and "Fuzzy Logic" (FL) control. Simulation results obtained using MATLAB/Simulink are analyzed and compared to evaluate the performance of each of the three techniques.
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Y.Swathi*, Dr.R.Kiranmayi K.Venu Gopal Reddy. "ANN BASED MODEL PREDICTIVE CONTROL OF SINGLE PHASE GRID CONNECTED PHOTOVOLTAIC SYSTEM USING MPPT TECHNIQUE." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 4 (2017): 407–19. https://doi.org/10.5281/zenodo.556321.
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Nowadays solar energy has great importance. Because it is easily available resource for energy generation. But the only problem is efficiency of solar system. And to increase its efficiency many MPPT techniques are available for use. Incremental conductance (INC) method is one of those well known MPPT techniques. Development of INC method using two-step model predictive control by employing artificial neural network (ANN) is the main contribution of this paper. The multilevel inverter controller is based on fixed step current predictive control with small ripples and low total harmonic distortion (THD). The MPC method for the grid connected PV system speeds up the control loop by sampling and predicting the error two steps before the switching signal is applied. PI controller is used in the INC method and MPC-MPPT methods. If any disturbances are occurred in the system then PI controller does not give better dynamic response. It is less tolerable to the changes. To overcome these, PI controller is replaced with ANN in MPC-MPPT method. ANN is introduced to improve transient stability of the system and THD of the current. The proposed MPC-MPPT technique with ANN for a grid connected PV System was implemented using MATLAB and SIMULINK. Performance of the ANN in MPC-MPPT method is compared with the PI controller in INC method and MPC-MPPT method.
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N, V. Uma Maheswari, and Jessi Sahaya Shanthi L. "Implementation of Modified Incremental Conductance MPPT A lgorithm in Grid Connected PV System Under Dynamic Climatic Conditions." Indian Journal of Science and Technology 15, no. 17 (2022): 819–28. https://doi.org/10.17485/IJST/v15i17.282.
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Abstract <strong>Background:</strong> The main goal of the grid-connected Photo Voltaic (PV) system is to extract maximum power from the array with reduced loss by using an appropriate MPPT method. <strong>Methods:</strong> A boost converter topology with linear INCMPPT algorithm is used to provide maximum power of 100 kW from the solar PV array to the grid. The integral regulator in the modified algorithm minimizes the error and guarantees exact control of the duty cycle of the DC-DC converter to produce constant DC voltage 500V with a minimum error of 2V. This proposed methodology perfectly matches with the optimal design of the DC-AC converter (inverter) for grid integration. A three-level IGBT-based voltage source inverter and filters are designed to supply pure AC voltage to the existing 100 kW grid. Detailed simulation work is completed using MATLAB/ Simulink software to prove the effectiveness of the proposed algorithm under various temperature (25-50◦C) and irradiance (200-1000W/m2) levels. <strong>Findings:</strong> The proposed MPPT algorithm is simple and effective in reducing the error required for the duty cycle correction from 0.45 to 0.518 and eliminating the oscillations at MPP. By using this methodology, the output voltage of the boost converter is adjusted to match the reference value. The simulation results reveal the better performance of the grid-connected PV system with the modified incremental conductance MPPT method. This modified INC MPPT algorithm exactly controls the duty cycle of the boost converter to provide better settling time and low ripples in the grid parameters.<strong> Novelty:</strong> This article provides a simple and effective improved incremental conductance (INC) MPPT algorithm to minimize the tracking error (1.5%). No additional tuning and selection of parameters, computational burden and memory are required for the implementation of the proposed control algorithm. <strong>Keywords:</strong> Gridconnected photovoltaic (PV) system; Maximum power point tracking (MPPT); Voltage Source Inverter (VSI); Boost converter; Incremental conductance (INC)
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Chao, Kuei-Hsiang, and Yu-Hsu Lee. "A Maximum Power Point Tracker with Automatic Step Size Tuning Scheme for Photovoltaic Systems." International Journal of Photoenergy 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/176341.
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The purpose of this paper is to study on a novel maximum power point tracking (MPPT) method for photovoltaic (PV) systems. First, the simulation environment for PV systems is constructed by using PSIM software package. A 516 W PV system established with Kyocera KC40T photovoltaic modules is used as an example to finish the simulation of the proposed MPPT method. When using incremental conductance (INC) MPPT method, it usually should consider the tradeoff between the dynamic response and the steady-state oscillation, whereas the proposed modified incremental conductance method based on extension theory can automatically adjust the step size to track the maximum power point (MPP) of PV array and effectively improve the dynamic response and steady-state performance of the PV systems, simultaneously. Some simulation and experimental results are made to verify that the proposed extension maximum power point tracking method can provide a good dynamic response and steady-state performance for a photovoltaic power generation system.
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Rezk, Ali, Abdalla, Younis, Gomaa, and Hashim. "Hybrid Moth-Flame Optimization Algorithm and Incremental Conductance for Tracking Maximum Power of Solar PV/Thermoelectric System under Different Conditions." Mathematics 7, no. 10 (2019): 875. http://dx.doi.org/10.3390/math7100875.
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For an efficient energy harvesting by the PV/thermoelectric system, the maximum power point tracking (MPPT) principle is targeted, aiming to operate the system close to peak power point. Under a uniform distribution of the solar irradiance, there is only one maximum power point (MPP), which easily can be efficiently determined by any traditional MPPT method, such as the incremental conductance (INC). A different situation will occur for the non-uniform distribution of solar irradiance, where more than one MPP will exist on the power versus voltage plot of the PV/thermoelectric system. The determination of the global MPP cannot be achieved by conventional methods. To deal with this issue the application of soft computing techniques based on optimization algorithms is used. However, MPPT based on optimization algorithms is very tedious and time consuming, especially under normal conditions. To solve this dilemma, this research examines a hybrid MPPT method, consisting of an incremental conductance (INC) approach and a moth-flame optimizer (MFO), referred to as (INC-MFO) procedure, to reach high adaptability at different environmental conditions. In this way, the combination of the two different algorithms facilitates the utilization of the advantages of the two methods, thereby resulting in a faster speed tracking with uniform radiation distribution and a high accuracy in the case of a non-uniform distribution. It is very important to mention that the INC method is used to track the maximum power point under normal conditions, whereas the MFO optimizer is most relevant for the global search under partial shading. The obtained results revealed that the proposed strategy performed best in both of the dynamic and the steady-state conditions at uniform and non-uniform radiation.
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Anagreh, Yaser Nawwaf, Ayat Alnassan, and Ashraf Radaideh. "High Performance MPPT Approach for Off-Line PV System Equipped With Storage Batteries and Electrolyzer." International Journal of Renewable Energy Development 10, no. 3 (2021): 507–15. http://dx.doi.org/10.14710/ijred.2021.34131.
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The current publication is directed to achieve a high-performance stand-alone PV system having the capability of tracking maximum output power, providing fixed output DC voltage, and attaining efficient system utilization, under different irradiation levels. A new maximum power point tracking (MPPT) approach integrating the incremental conductance algorithm and fuzzy logic control, and enhanced with PI-controller, was proposed to track maximum power. To provide fixed output DC voltage and approaching full system utilization, the PV system is equipped with a battery bank, electrolyzer; as a dump load, and buck-boost converter, with two controllers. The results of the proposed MPPT technique; modified incremental conductance (MINC), are compared with the corresponding results of three prevalently implemented MPPT algorithms: perturbed and observed (P&O), modified variable step-size P&O (VSZ-PO) and the ordinarily incremental conductance (INC). The highest output power, best tracking efficiency and best output power response are achieved by utilizing the proposed MPPT method. The results of the output voltage response and electrolizer on/off states confirm the ability of the PV scheme to provide fixed DC voltage and attain efficient system utilization, under varying irradiances.
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Han, Jeongwon, Hyunjae Lee, and Jingeun Shon. "Improvement of Power Production Efficiency Following the Application of the GD InC Maximum Power Point Tracking Method in Photovoltaic Systems." Energies 17, no. 20 (2024): 5148. http://dx.doi.org/10.3390/en17205148.
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This paper proposes a new maximum power point tracking (MPPT) method based on machine learning with improved power production efficiency for application to photovoltaic (PV) systems. Power loss occurs in the incremental conductance (InC) method, depending on the size of the voltage step used to track the maximum power point. Additionally, the size of the voltage step must be specified by the initial user; however, an appropriate size cannot be determined in a rapidly changing environment. To solve this problem, this study presents a gradient descent InC (GD InC) method that optimizes the size of the voltage step by applying an optimization method based on machine learning. The effectiveness of the GD InC method was verified and the optimized size of the voltage step was confirmed to produce the largest amount of power. When the size of the voltage step was optimized, a maximum difference of 4.53% was observed compared with the case when the smallest amount of power was produced. The effectiveness of the GD InC method, which improved the efficiency of power production by optimizing the size of the voltage step, was verified. Power can be produced efficiently by applying the GD InC method to PV systems.
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Mohammad Nezam, Ahmad, and Yunus Yalman. "Novel Hybrid MPPT based on modified incremental conductance-grey wolf optimization for grid connected PV systems." International Journal of Energy Studies 10, no. 1 (2025): 1203–25. https://doi.org/10.58559/ijes.1643588.
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In recent years, the utilization of renewable energy sources has expanded significantly to mitigate the adverse effects associated with conventional energy sources, particularly carbon dioxide (CO₂) emissions. Due to the intermittent nature of the Photovoltaic (PV) system, the output power of the PV system fluctuates which affects the output power and power quality of the power system. Maximum power point tracking techniques (MPPT) are utilized to overcome efficiency and power quality problems. In this paper, a hybrid MPPT algorithm is proposed to improve efficiency and power quality for grid-connected PV systems. The proposed MPPT combines modified incremental conductance and grey wolf Optimization. Incremental Conductance (INC), Modified Incremental Conductance (M_INC), Perturb &amp; Observe (P&amp;O), Modified Perturb &amp; Observe (M_P&amp;O), and Grey Wolf Optimization (GWO) MPPT methods are implemented in MATLAB and compared with the proposed algorithm. The simulation results ensure the outperform of the proposed algorithm to the other algorithms by possessing the lowest THD of 2.31% and it reaches the efficiency of 99.71% with less oscillation at the output.
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Verma, Richa, B. Bhargav, and Srinivasa Varma P. "Comparison of Different MPPT Algorithms for PV System." International Journal of Engineering & Technology 7, no. 1.8 (2018): 158. http://dx.doi.org/10.14419/ijet.v7i1.8.11539.
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This paper helps us analyze three different MPPT techniques like Perturb and Observe, Incremental Conductance and Particle Swarm Optimization method. As the output characteristic depends on temperature and irradiance, therefore the maximum power point (MPPT) is not always constant. Hence it is necessary to ensure that the PV panel is operating at its maximum power point. There are many different MPPT techniques but, the confusion lies in selecting which MPPT technique is best as every algorithm has its own merit and demerit. In order to extract maximum power from PV arrangement, PSO algorithm is proposed. Algorithms are implemented using the DC-DC converter as well as SEPI converter. Results of simulations are presented in order to demonstrate the effectiveness of PSO algorithm, when compared to Perturb and Observe (P&O) and Incremental Conductance (INC). To simulate the proposed system MATLAB/SIMULINK power system tool box is used.
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Abssane, Sara, Abdelkader Outzourhit, and Fatima Zahra Amatoul. "Comparison between incremental conductance and perturb and observe algorithms in photovoltaic system under low temperature and irradiation levels." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 5 (2024): 4897. http://dx.doi.org/10.11591/ijece.v14i5.pp4897-4906.
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This paper compares two mostly used maximum power point tracking (MPPT) methods, perturb and observe (P&amp;O), and incremental conductance (INC), for a photovoltaic (PV) system integrated with a step-up converter and resistive load. The evaluation was conducted using MATLAB/Simulink under two specific environmental conditions: low irradiation and temperature levels. The results indicate that under irradiation levels below 200 W/m², the INC algorithm outperforms P&amp;O by exhibiting minimal fluctuations and achieving higher efficiency. Conversely, under low temperature (below 25 °C) the P&amp;O method reaches the highest efficiency, exceeding 99%. These findings highlight the importance of selecting the appropriate MPPT algorithm based on specific environmental conditions to optimize the energy output of PV systems.
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Ramireddy, P., and Dr G. Ramya. "Investigation on Maximum Power Point Tracking Algorithm (INC and FLC) for Effective Utilization of Power Under Partial Shaded Photovoltaic System." Alinteri Journal of Agriculture Sciences 36, no. 1 (2021): 342–49. http://dx.doi.org/10.47059/alinteri/v36i1/ajas21051.
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Aim: This paper makes a comparative analysis on two types of maximum power point tracking algorithm to trace the global peak power efficiently with minimum oscillation and less tracking time under partial shaded photovoltaic green energy systems. Materials & Methods: Incremental conductance (INC) and fuzzy logic (FLC) MPPT algorithm are implemented to analyze the tracking efficiency under varying insolation conditions. Results: FLC MPP algorithm extracts peak power of 97.6 W with tracking time of 0.003s while INC extracts 94 W with tracking time of 0.004s. Conclusion: FLC MPPT algorithm provides better efficiency compared to INC algorithm for the selected data set.
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Anjum, S. Vasiha, V. Suryanarayanareddy, Mallela Leela Mounika, Nellore Yamini, and M. Sai Sandeep. "Enhancing Power Quality in Integrated PV Systems and DFIG Systems through MPPT and Fuzzy logic controller for Grid Systems." E3S Web of Conferences 547 (2024): 01005. http://dx.doi.org/10.1051/e3sconf/202454701005.
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This article investigates incorporating solar energy into a grid connected system or process— Photo-Voltaic (PV) and Double Fed Induction Generator ( DFIG) systems aimed at improving energy efficiency. Because of its lower efficiency, successfully using the power from solar PV connected to the utility grid is a challenging operation. The hybrid system operation is optimized using a Fuzzy Logic Controller (FLC), which effectively manages the variability and intermittency of renewable sources. The FLC dynamically adjusts parameters to ensure seamless grid integration and power quality enhancements. The study compares the FLC's performance with the Incremental Conductance method, evaluating their ability to manage the hybrid system's components under diverse environmental conditions. Key focus areas include voltage regulation, frequency stability, and harmonic distortion mitigation. A power point tracking controller's primary function is to increase or maximize solar systems' power generation. This proposed method includes a presentation of a fuzzy controller with Maximum power point tracking (MPPT) for a 10 kW-PV grid connected systems, highlighting its advantages over the Incremental Conductance method (Inc- Con). The output results are verified and validated with MATLAB Simulink platform.
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Hilali, Abdelilah, Najib El Ouanjli, Said Mahfoud, Ameena Saad Al-Sumaiti, and Mahmoud A. Mossa. "Optimization of a Solar Water Pumping System in Varying Weather Conditions by a New Hybrid Method Based on Fuzzy Logic and Incremental Conductance." Energies 15, no. 22 (2022): 8518. http://dx.doi.org/10.3390/en15228518.
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The present work consists of developing a new hybrid FL-INC optimization algorithm for the solar water pumping system (SWPS) through a SEPIC converter whose objective is to improve these performances. This technique is based on the combination of the fuzzy logic of artificial intelligence and the incremental conductance (INC) technique. Indeed, the introduction of fuzzy logic to the INC algorithm allows the extraction of a maximum amount of power and an improvement in the efficiency of the SWPS. The performance of the system through the SEPIC converter is compared with those of the direct coupling to show the interest of the indirect coupling, which requires an adaptation stage driven by an optimal control algorithm. In addition, a comparative analysis between the proposed hybrid algorithm and the conventional optimization techniques, namely, P&O and INC Modified (M-INC), was carried out to confirm improvements related to the SWPS in terms of efficiency, tracking speed, power quality, tracking of the maximum power point under different weather changes, and pumped water flow.
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Shetty, Divya, and Jayalakshmi Narayana Sabhahit. "Grey wolf optimization and incremental conductance based hybrid MPPT technique for solar powered induction motor driven water pump." International Journal of Renewable Energy Development 13, no. 1 (2023): 52–61. http://dx.doi.org/10.14710/ijred.2024.57096.
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The use of Solar Powered Water Pumps (SPWP) has emerged as a significant advancement in irrigation systems, offering a viable alternative to electricity and diesel-based pumping methods. The appeal of SPWPs to farmers lies in their low maintenance costs and the incentives provided by government agencies to support sustainable and cost-effective agricultural practices. However, a critical challenge faced by solar photovoltaic (PV) systems is their susceptibility to power loss under partial shading conditions, which can persist for extended periods, ultimately reducing system efficiency. To address this issue, this paper proposes the integration of Maximum Power Point Tracking (MPPT) controllers with efficient algorithms designed to identify the peak power during shading events. In this study, a hybrid approach combining Grey Wolf Optimization (GWO) and Incremental Conductance (INC) is employed to maximize the power output of SPWPs driven by an induction motor under partial shading conditions. In order to achieve faster convergence to the global peak, GWO handles the first stages of MPPT and then INC algorithm is employed at the end of the MPPT process. This method reduces the computations of GWO and streamlines the search space. The paper evaluates the performance of the induction motor in terms of speed settling time and torque ripple. To validate the effectiveness of the GWO-INC hybrid approach, simulations are conducted using the MATLAB Simulink platform. The outcomes are then compared with results obtained from various well-known approaches, including Particle Swarm Optimization – Perturb and Observe (PSO-PO), PSO-INC, and GWO-PO, illustrating the superiority of the GWO-INC hybrid approach in enhancing the efficiency and performance of solar water pumps during shading. The GWO-INC excels with 99.6% accuracy in uniform shading and 99.8% in partial shading. It achieves convergence in a mere 0.55 seconds under uniform shading conditions and only 0.42 seconds when partial shading is present. Moreover, it significantly reduces torque oscillations, with a torque ripple of 8.26% in cases of uniform shading and 10.56% in partial shading.
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Ibrahim, Nagwa F., Mohamed Metwally Mahmoud, Hashim Alnami, et al. "A new adaptive MPPT technique using an improved INC algorithm supported by fuzzy self-tuning controller for a grid-linked photovoltaic system." PLOS ONE 18, no. 11 (2023): e0293613. http://dx.doi.org/10.1371/journal.pone.0293613.
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Solar energy, a prominent renewable resource, relies on photovoltaic systems (PVS) to capture energy efficiently. The challenge lies in maximizing power generation, which fluctuates due to changing environmental conditions like irradiance and temperature. Maximum Power Point Tracking (MPPT) techniques have been developed to optimize PVS output. Among these, the incremental conductance (INC) method is widely recognized. However, adapting INC to varying environmental conditions remains a challenge. This study introduces an innovative approach to adaptive MPPT for grid-connected PVS, enhancing classical INC by integrating a PID controller updated through a fuzzy self-tuning controller (INC-FST). INC-FST dynamically regulates the boost converter signal, connecting the PVS’s DC output to the grid-connected inverter. A comprehensive evaluation, comparing the proposed adaptive MPPT technique (INC-FST) with conventional MPPT methods such as INC, Perturb & Observe (P&O), and INC Fuzzy Logic (INC-FL), was conducted. Metrics assessed include current, voltage, efficiency, power, and DC bus voltage under different climate scenarios. The proposed MPPT-INC-FST algorithm demonstrated superior efficiency, achieving 99.80%, 99.76%, and 99.73% for three distinct climate scenarios. Furthermore, the comparative analysis highlighted its precision in terms of control indices, minimizing overshoot, reducing rise time, and maximizing PVS power output.
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El Ouardi, Hind, Ayoub El Gadari, Mohcine Mokhlis, Youssef Ounejjar, Lahcen Bejjit, and Kamal Al-Haddad. "A Novel MPPT Technique Based on Combination between the Incremental Conductance and Hysteresis Control Applied in a Standalone PV System." Eng 4, no. 1 (2023): 964–76. http://dx.doi.org/10.3390/eng4010057.
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A new Maximum Power Point Tracking (MPPT) method, consisting in combining the Incremental Conductance (INC) algorithm with the Hysteresis control, was developed and applied to a standalone photovoltaic (PV) system to generate the maximum power of the PV array. The INC allows one to search for the Maximum Power Point (MPP). The hysteresis improves the accuracy of tracking the MPP very fast even after severe changes in weather conditions and has no oscillations around the MPP. The five-level S-Packed U Cells (SPUC5) inverter is used to transform the produced DC voltage to AC voltage; it generates five-level output voltage with a small number of switches and only DC source voltage. The capacitors of the SPUC5 are controlled by the Pulse Width Modulation (PWM) in order to balance their voltages. The proposed PV system was established and trained in the MATLAB/Simulink environment under various irradiation conditions. A comparison between different MPPT methods, INC-PWM and INC-PI, was investigated in order to examine the effectiveness of the developed MPPT technique in particular, and of all the PV system components. The results of the simulation validate the effectiveness of the suggested MPPT algorithm as well as the used SPUC5 inverter.
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Harrison, Ambe, Njimboh Henry Alombah, and Jean de Dieu Nguimfack Ndongmo. "A New Hybrid MPPT Based on Incremental Conductance-Integral Backstepping Controller Applied to a PV System under Fast-Changing Operating Conditions." International Journal of Photoenergy 2023 (February 15, 2023): 1–17. http://dx.doi.org/10.1155/2023/9931481.
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Maximum power point tracking (MPPT) is becoming more and more important in the optimization of photovoltaic systems. Several MPPT algorithms and nonlinear controllers have been developed for improving the energy yield of PV systems. On the one hand, most of the conventional algorithms such as the incremental conductance (INC) demonstrate a good affinity for the maximum power point (MPP) but often fail to ensure acceptable stability and robustness of the PV system against fast-changing operating conditions. On the other hand, the MPPT nonlinear controllers can palliate the robust limitations of the algorithms. However, most of these controllers rely on expensive solar irradiance measurement systems or complex and relatively less accurate methods to seek the maximum power voltage. In this paper, we propose a new hybrid MPPT based on the incremental conductance algorithm and the integral backstepping controller. The hybrid scheme exploits the benefits of the INC algorithm in seeking the maximum power voltage and feeds a nonlinear integral backstepping controller whose stability was ensured by the Lyapunov theory. Therefore, in terms of characteristics, the overall system is a blend of the MPP-seeking potential of the INC and the nonlinear and robust potentials of the integral backstepping controller (IBSC). It was noted that the hybrid system successfully palliates the conventional limitations of the isolated INC and relieves the PV system from the expensive burden of solar irradiance measurement. The proposed hybrid system increased the operational efficiency of the PV system to 99.94% and was found better than the INC MPPT algorithm and 8 other recently published MPPT methods. An extended validation under experimental environmental conditions showed that the hybrid system is approximately four times faster than the INC in tracking the maximum power with better energy yield than the latter.
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Zhao, Yi Zhi, Qian Liu, and Qi Zhang. "Research of Photovoltaic Charging System with Maximum Power Point Tracking Based on DSP." Applied Mechanics and Materials 556-562 (May 2014): 1716–19. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.1716.
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According to the output characteristics of photovoltaic (PV) array and battery charging characteristics, this article used DSP to design a PV charging system with maximum power point tracking (MPPT) ,and the three-state charging method was implemented on it. The incremental conductance (INC) algorithm was applied in fast-charge stage to track maximum power point. PI regulator algorithm was exploited to realize constant voltage charge in the stage of over-charge and float-charge, and the charge voltage was compensated by the sampling temperature. Experimental and simulation results indicated that this method can be used to improve the energy efficiency of PV cell, and extend the lifetime of battery.
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Bai, Long. "Maximum Power Point Tracking Control of PV-TE Hybrid Power Generation System in Greenhouse." Mathematical Problems in Engineering 2022 (July 31, 2022): 1–9. http://dx.doi.org/10.1155/2022/7691291.
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The application of photovoltaic-thermoelectric (PV-TE) combined power generation system in greenhouse is an effective way to solve the problems of high energy consumption and high pollution. In order to improve the efficiency of the PV-TE system, maximum power point tracking (MPPT) control is required. Aiming at the shortcomings of the traditional incremental conductance (INC) method, which is fixed in step size, a hyperbolic tangent-type adaptive variable step length INC method is proposed. The method takes advantage of the monotonically increasing and the fast changing speed of the hyperbolic tangent function, so that the step length can be adjusted rapidly and adaptively according to the change of external environmental conditions such as light intensity. The simulation results show that the proposed method can rapidly track the maximum power point when the illumination intensity changes drastically, and meanwhile it has smaller steady-state error and can realize MPPT control well.
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Lagdani, Oumnia, Mourad Trihi, and Badre Bossoufi. "PV array connected to the grid with the implementation of MPPT algorithms (INC, P&O and FL Method)." International Journal of Power Electronics and Drive Systems (IJPEDS) 10, no. 4 (2019): 2084. http://dx.doi.org/10.11591/ijpeds.v10.i4.pp2084-2095.
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The purpose of this article is to extract the maximum power point at which the photovoltaic system can operate optimally. The system considered is simulated under different irradiations (between 200 W/m<sup>2</sup> and 1000 W/m<sup>2</sup>), it mainly includes the established models of solar PV and MPPT module, a DC/DC boost converter and a DC/AC converter. The most common MPPT techniques that will be studied are: "Perturbation and Observation" (P&amp;O) method, "Incremental Conductance" (INC) method, and "Fuzzy Logic" (FL) control. Simulation results obtained using MATLAB/Simulink are analyzed and compared to evaluate the performance of each of the three techniques.
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Madhukumar, Mithun, Tonse Suresh, and Mohsin Jamil. "Investigation of Photovoltaic Grid System under Non-Uniform Irradiance Conditions." Electronics 9, no. 9 (2020): 1512. http://dx.doi.org/10.3390/electronics9091512.
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Photovoltaic (PV) systems have recently been recognized as a leading way in the production of renewable electricity. Due to the unpredictable changes in environmental patterns, the amount of solar irradiation and cell operating temperature affect the power generated by the PV system. This paper, therefore, discusses the grid-integrated PV system to extract maximum power from the PV array to supply load requirements and the supply surplus power to the AC grid. The primary design is to have maximum power point tracking (MPPT) of the non-uniformly irradiated PV array, conversion efficiency maximization, and grid synchronization. This paper investigates various MPPT control algorithms using incremental conductance method, which effectively increased the performance and reduced error, hence helped to extract solar array’s power more efficiently. Additionally, other issues of PV grid-connected system such as network stability, power quality, and grid synchronization functions were implemented. The control of the voltage source converter is designed in such a way that PV power generated is synchronous to the grid. This paper also includes a comparative analysis of two MPPT techniques such as incremental conductance (INC) and perturb-and-observe (P&O). Extensive simulation of various controllers has been conducted to achieve enhanced efficient power extraction, grid synchronization and minimal performance loss due to dynamic tracking errors, particularly under fast-changing irradiation in Matlab/Simulink. The overall results favour INC algorithm and meet the required standards.
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Muchen, Yuze, and Nadia Farah. "Maximum power point tracking for a photovoltaic power system using the DIRECT algorithm." i-manager's Journal on Power Systems Engineering 12, no. 2 (2024): 15. https://doi.org/10.26634/jps.12.2.21682.
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Photovoltaic (PV) power generation systems require effective maximum power point tracking (MPPT) algorithms to ensure optimal energy conversion efficiency. This research presents a novel MPPT algorithm based on the Dividing Rectangles (DIRECT) algorithm, which offers improved tracking performance under rapidly changing insolation and partial shading conditions. Compared to conventional techniques such as Perturb & Observe (P&O) and Incremental Conductance (INC), the proposed method effectively identifies and tracks the global maximum power point (GMPP) while minimizing steady-state oscillations. The effectiveness of the approach is validated through simulation and experimental results, demonstrating enhanced tracking speed and energy efficiency.
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Hasliza Abdul Rahman, Noor, Nur Iqtiyani Ilham, Ahmad Maliki Omar, et al. "Auto-Scaling Variable Step Size Incremental Conductance Maximum Power Tracking Control Algorithm for Photovoltaic System." International Journal of Engineering & Technology 7, no. 4.22 (2018): 165–69. http://dx.doi.org/10.14419/ijet.v7i4.22.27871.
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Generally, most of the Maximum Power Point Tracking (MPPT) techniques are based on the fixed step size considering to its simplicity and easy execution. However, the fixed step size contributes to the high power oscillation around maximum power point for large step size and slow time response for small step size. In order to compromise between these two problems, the variable step size (VSS) method is proposed. Yet, there are some deficiency occurred in the conventional VSS between time response and power oscillation. Thus, in this research paper, Auto-Scaling Variable Step Size (AVSS) Incremental Conductance (INC) algorithm technique will be employed to improve the trade-off between time response and power oscillation. Â
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Wang, Yan Yun, Dong Wei Xia, and Hao Han. "A Dual-Mode MPPT Algorithm Based on the Golden Section Point of the PV System." Advanced Materials Research 748 (August 2013): 833–38. http://dx.doi.org/10.4028/www.scientific.net/amr.748.833.
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A dual-mode MPPT (Maximum Power Point Tracking) method is proposed in this paper. When external conditions or loads change suddenly, the P&O (Perturb and Observe) method is used to adjust the operating point of the PV (Photovoltaic) array close to the MPP (Maximum Power Point) for fast tracking; meanwhile, the INC (Incremental Conductance) method is combined with the P&O method to optimize the steady-state characteristic. Moreover, to improve the control precision, the golden section point is used to adjust the disturbance step on line. Simulation results show that the proposed method tracks the MPP (Maximum Power Point) quickly, reduces the oscillation around the MPP effectively and improves the energy conversion efficiency of the PV system availably.
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Ngo, Sy, Chian-Song Chiu, Thanh-Dong Ngo, and Cao-Tri Nguyen. "New Approach-based MPP Tracking Design for Standalone PV Energy Conversion Systems." Elektronika ir Elektrotechnika 29, no. 1 (2023): 49–58. http://dx.doi.org/10.5755/j02.eie.32269.
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In searching for a maximum power point (MPP) using a DC boost converter for photovoltaic (PV) energy conversion systems, we realised that the fast and accurate way to find the suitable duty ratio value is the core problem to enhance the energy conversion efficiency of the PV system. Under uniform irradiation, the panels will generate the same values, so they have only one peak on the P-V curve; conventional MPP tracking methods easily obtain this MPP. However, under partial shading conditions, many peaks are created, traditional MPP tracking methods can fall into the local MPP, and this issue will cause energy loss and reduce PV energy conversion efficiency. To avoid this disadvantage, this paper proposes a hybrid method (HM) by combining the improved chicken swarm optimisation (CSO) method and the incremental conductance (InC) algorithm for a DC standalone PV energy conversion system. In this hybrid method, the improved CSO modified approach is used to search the global region, and the InC algorithm is responsible for capturing the top of this global region. MATLAB simulation and experimental results were performed to demonstrate that the proposed method has achieved the global MPP under uniform solar irradiance and partial shadow effects.
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Bandahalli Mallappa, Prasad Kumar, Guillermo Velasco Quesada, and Herminio Martínez García. "Energy Management of Grid Connected Hybrid Solar/Wind/Battery System using Golden Eagle Optimization with Incremental Conductance." Renewable Energy and Power Quality Journal 20 (September 2022): 342–47. http://dx.doi.org/10.24084/repqj20.305.
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. Renewable Energy Sources (RES) are currently being used on a much larger scale to support and satisfy the higher energy demands caused by industrialization and population growth. Due to this rise in the number of consumers of power systems and the unpredictable nature of the electric load, the vast power demand proves to be a tough challenge for electric utilities and system operators. So, power demands have occurred over many periods and become a threat to the system's functionality. Therefore, an effective Energy Management System (EMS) name called Golden Eagle Optimization with Incremental Conductance (GEO-INC) is proposed to meet the load demand. Three different systems, namely: RES Photovoltaic (PV) module, wind turbine, and battery create an effective EMS. The proposed method extracts more power from the PV panel and effectively controls the switching between the wind turbine and the battery storage system. The proposed method achieves 1.98 % distortion from the results, which is less than the existing methods.
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R.Kareem, Parween. "Simulation of the Incremental Conductance Algorithm for Maximum Power Point Tracking of Photovoltaic System Based On Matlab." DJES 12, no. 1 (2019): 34–43. http://dx.doi.org/10.24237/djes.2019.12105.
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Due to the urgent need to make maximum use of electrical power generated from the Photo-Voltaic System (PVS) solar panels, several techniques have been developed for this purpose. Maximum Power Point Tracking (MPPT) algorithm raises the efficiency of PVS’s. Simulation of the complete (PVS) possesses the ability of MPPT is present in this paper. The approved PVS consists of a PV array, DC-DC Boost Converter and MPPT algorithm using Incremental Conductance Method (INC). All parts of the system were simulated programmatically using MATLAB. The obtained Results showed the efficiency of the algorithm used to extract the maximum power regardless of changes in solar radiation and cell’s temperature
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Wang, Xiao Lei, Liang Yang, and Pan Yan. "A New Engineering Model of Solar Array and MPPT Control." Advanced Materials Research 383-390 (November 2011): 591–97. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.591.
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An engineering model of solar array can reflect the real-time output voltage and current, the maximum power point voltage, the maximum power point current and the maximum power point in any light intensity and any temperature of solar arrary. A simulation model is established in Matlab/Simulink and proved the engineering model correctly and reliability. Using the method of Perturbation and Observation (P&O) and Incremental Conductance (INC) track the maximum power point of a solar array under the reference standard of these output elements, and found out the pursuit gain around the reference standard oscillation and further to validate the model's reliability.
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Malla, Nigam Bam, and Vision Parajuli. "Comparison of Incremental Conductance and Perturb and Observe Techniques of Maximum Power Point Tracking for PV Systems." International Journal of Research In Science & Engineering, no. 41 (December 1, 2023): 13–21. http://dx.doi.org/10.55529/ijrise.41.13.21.
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The unceasing increase of the global energy call is linked with societies increasing awareness of the environmental effects of the extensive fossil fuels utilization. It has directed to the search for renewable energy sources, like as photovoltaic (PV) technology. The power from solar PV is connected directly to loads or fed to the grid. In general PV system is considered initially more expensive, however, it is the best suitable solution for standalone systems. With the developments in PV technologies, their applications increase rapidly, and grid-connected PV systems become popular. It indicates that PVs are more attractive to produce environmentally friendly electricity for various purposes. This research paper presents a comparison of incremental conductance (IC) and perturb and observe (P&O) in grid-connected PV. The study begins by providing a background on MPPT and the two specific techniques being evaluated. The P&O technique perturbs the voltage of PV array and notices the response in power output, while the IC method implements the slope of the power voltage curve to incrementally adjust the operating point. At the end, it was observed that the INC MPPT technique accomplished maximum power point quickly. Similarly, there was less fluctuation in I&C method than in P&O method. The paper concludes that the IC method is a more appropriate choice for MPPT in grid-connected PV systems due to its superior performance and robustness.
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Bouksaim, Maroua, Mohcin Mekhfioui, and Mohamed Nabil Srifi. "Design and Implementation of Modified INC, Conventional INC, and Fuzzy Logic Controllers Applied to a PV System under Variable Weather Conditions." Designs 5, no. 4 (2021): 71. http://dx.doi.org/10.3390/designs5040071.
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Maximum power point tracking (MPPT) algorithms are used in photovoltaic applications to extract the maximum power that the photovoltaic (PV) panel can produce, which depends on two inputs that are: temperature and irradiance. A DC-DC converter is inserted between the photovoltaic panel and the load to obtain the desired voltage level on the load side. In this paper, incremental conductance (INC) algorithm, modified INC, and fuzzy logic controller (FLC) are designed and assessed to improve energy conversion efficiency. These algorithms are applied to the control of boost converter for tracking the maximum power point (MPP). The modified INC offers fast response and good performance in terms of oscillations than conventional INC and FLC. The Matlab/Simulink environment is used to analyze, interpret the simulation results, and show the performances of each algorithm; and Proteus-based Arduino environment is used to implement the three methods in order to compare the Matlab simulation results with measurements acquired during implementation that is similar to real experiment.
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Kiran, G. Sai, and M. Premkumar. "Grid and Solar Photovoltaic Sources Assisted Charging System for Electric Vehicles." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 1114–23. http://dx.doi.org/10.22214/ijraset.2022.48138.
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Abstract: Power generation using Photovoltaic (PV) cells is the primary source among renewable energy sources. The PV cell, which utilizes solar energy, turns solar radiation into electrical energy without adversely affecting the earth's atmosphere. The key issue regarding PV power generation is that solar irradiation varies with time on an hourly basis. To extract the high power from the PV panel during the change in environmental condition, Single-Ended Primary Inductance-Capacitor (SEPIC) based DC-DC converter, and a highly efficient Maximum Power Point Tracking (MPPT) algorithm are used. In this study, an isolated SEPIC converter is used to charge the battery of an electric vehicle via a grid or PV source. The incremental Conductance (INC) algorithm is more efficient among the MPPT methods due to the accuracy in steady state and flexibility to the environment, increasing the system's overall efficiency. Therefore, this study uses the INC method to obtain high power output during the change in environmental conditions. The converter, MPPT algorithm, and controller are developed in MATLAB/Simulink environment, and the results are verified through the simulations. The results show the applicability of the SEPIC converter with INC for electric vehicle battery charging applications.
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Chellakhi, Abdelkhalek, Said El Beid, and Younes Abouelmahjoub. "An Improved Maximum Power Point Approach for Temperature Variation in PV System Applications." International Journal of Photoenergy 2021 (June 10, 2021): 1–21. http://dx.doi.org/10.1155/2021/9973204.
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This paper develops and discusses an improved MPPT approach for temperature variation with fast-tracking speed and reduced steady-state oscillation. This MPPT approach can be added to numerous existing MPPT algorithms in order to enhance their tracking accuracy and response time and to reduce the power loss. The improved MPPT method is fast and accurate to follow the maximum power point under critical temperature conditions without increasing the implementation complexity. The simulation results under different scenarios of temperature and insolation were presented to validate the advantages of the proposed method in terms of tracking efficiency and reduction of power loss at dynamic and steady-state conditions. The simulation results obtained when the proposed MPPT technique was added to different MPPT techniques, namely, perturb and observe (P&O), incremental conductance (INC), and modified MPP-Locus method, show significant enhancements of the MPP tracking performances, where the average efficiency of the conventional P&O, INC, and modified MPP-Locus MPPT methods under all scenarios is presented, respectively, as 98.85%, 98.80%, and 98.81%, whereas the average efficiency of the improved P&O, INC, and modified MPP-Locus MPPT methods is 99.18%, 99.06%, and 99.12%, respectively. Furthermore, the convergence time enhancement of the improved approaches over the conventional P&O, INC, and modified MPP-Locus methods is 2.06, 5.25, and 2.57 milliseconds, respectively; besides, the steady-state power oscillations of the conventional P&O, INC, and modified MPP-Locus MPPT methods are 2, 1, and 0.6 watts, but it is neglected in the case of using the improved approaches. In this study, the MATLAB/Simulink software package was selected for the implementation of the whole PV system.
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Abssane, Sara, Outzourhit Abdelkader, and Fatima-Zahra Amatoul. "Maximizing hydrogen production through photovoltaic generator by using improved incremental conductance algorithm with proportional integral PI controller." Solar Energy and Sustainable Development Journal 13, no. 2 (2024): 365–78. http://dx.doi.org/10.51646/jsesd.v13i2.229.
Full textAbstract:
Effectively storing energy for prolonged periods poses a primary challenge for renewable and innovative energy sources. This research focuses on two key objectives: first, converting photovoltaic (PV) voltage to the necessary level for electrolysis through a buck converter, and second, utilizing a maximum power point tracking (MPPT) method to optimize the solar generator's efficiency. The simulation of the solar-driven buck converter for the electrolysis load was carried out using MATLAB/Simulink, integrating an Incremental Conductance (INC) MPPT algorithm with a PI controller for system optimization. The simulation results reveal the stabilization of both the generated power from the PV system and the load voltage. Significantly, the proposed system achieves an efficiency surpassing 90% under high irradiance levels.
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Kanagaraj, Ramya, and Yasoda Kailasam. "Analysis of P&O and Inc Algorithms for Effective Photovoltaic System Using MATLAB." March 2022 4, no. 1 (2022): 1–11. http://dx.doi.org/10.36548/jscp.2022.1.001.
Full textAbstract:
The power crisis faced in India can be overcome by introducing different non-traditional control age tactics. Sunlight-based electricity is the most well-known out-of-the-box technology. Since the sun is the major source of energy for this method, the facility age may vary due to the natural factors like as irradiance, temperature variations, and abrupt impedance of mists, which cannot be controlled or prevented by humans. Irrespective of temperature, irradiance, or shading effects, the Maximum Power Point Tracker (MPPT) method is employed to see the utmost power age point. By applying MPPT methods, the required amount of energy is controlled with a smaller number of boards, lowering the value of adding to a PV framework. This research presents a comparable analysis of two MPPT procedures, Perturb and Observe (P&O) and Incremental Conductance (INC) methods in light of the very fact that these computations are often used due to their low effort and simple recognition when using MATLAB/SIMULINK. To imitate the MPPT algorithm, the basic quantities like voltage and current of a board have been used.